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Routine screening mammography has increased the non-palpable suspicious lesion detection rate, requiring histopathological evaluation. The discovery of atypical lesions on the breast biopsy is associated with two interrelated risks:
The goal would be to get a model to assess the risk and no longer operate those patients at high risk of BC. Several groups have attempted to identify predictors of concurrent or secondary BC associated with the discovery of an unusual lesion at biopsy. However, they are often focused on a subtype of atypia (eg atypical metaplasia, atypical ductal hyperplasia, atypical lobular hyperplasia) and no prediction model has been validated in prospective multicenter. Based on a large retrospective study at Gustave Roussy, a prediction model (Nomat) has been developed, common to all atypical lesions, which can predict the presence of a BC at excision surgery (risk of concurrent BC). This model is based on the age of the patient, the disappearance of radiographic abnormalities (microcalcifications in general) after the biopsy and initial radiological lesion size. This model has good performance with an area under the curve (AUC) of 0.72. In previous series, with a BC high-risk threshold of 20%, negative predictive value was 90%, and this model would have prevented the surgery in 51% of patients (low risk patients by model). It is essential to validate this model by forward-looking and in different centers to ensure its relevance.
This is a multicenter prospective validation of the model on 300 patients operated for atypical lesions in 21 centers. All patients with atypical breast lesions have a routine surgery. The clinical data, imaging and histological data will be collected prospectively. The main objective of this study is to validate the model Nomat.
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300 participants in 1 patient group
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